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Online Archive Limitations

Important

Online Archive depends on Atlas Data Federation. For Atlas Data Federation, see Atlas Data Federation Limitations.

While Online Archive offers significant advantages for data lifecycle management, it is important to understand certain limitations before using the feature. The following sections detail these limitations.

Online Archive supports the following partition attribute types:

  • date

  • double

  • int

  • long

  • objectId

  • string

  • boolean

To learn more about the supported partition attribute types, see: Partition Attributes

Note

UUID is not tracked, it is recommended to convert it to string before adding it to Online Archive.

During the archival process, an Online Archive will query a collection to find documents eligible for archival. To improve archival throughput, an index over the partition fields used in the archiving criteria is recommended.

You can query archived data in a read-only manner. You cannot modify, update, or delete data within an Online Archive directly. If you need to update archived data, you must restore the data to the active database, see: Restore Archive Data.

Restoring data from an Online Archive to the live database can be time-consuming for large datasets. Ensure that you account for this restore time when you plan your application's data availability needs.

Online Archive integrates tightly with Atlas infrastructure. As such, you can't use your own independently-configured cloud storage solution for data archiving.

Atlas cluster backups don't include archived data. If you need to ensure backup coverage for archived data, you must implement a custom backup solution directly on your archive storage.

The Online Archive ignores sharding zones and archives all data from a single collection into one designated storage region, regardless of the cluster zone sharding.

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